Statistical classification

Attribute selection is the process of identifying and removing as much of the irrelevant and redundant information as possible from a dataset. If the data dimensions are reduced, we will be able to improve the performance of the applied classification algorithms. They will function faster, more efficiently and will be with an improved classification accuracy. As an addition we can also execute data visualization, and increase the insight of the potential classification model [] . There are many different proposed attribute ranking and selection methods. Hall and Holmes et. al analyzed numerous of these methods and recognized the ones that achieved finest results [] as “Correlation-Based Feature Selection” [] “Information Gain Correlation”, “Wrapper Subset Evaluation”[] , “Recursive Elimination of Features” [] , “Consistency-Based Subset Evaluation” [] .The outcomes help the researchers to select the most appropriate method for attribute selection. Some of the methods are time consuming and their performance is highly dependent on the characteristics of the data. Therefore there isn’t any method that outperforms the others and analysis need to be made for each specific learning problem [] . The…

been applied for detection of Learning Disability in students since a long time.Artificial neural network (ANN) and support vector machine (SVM) classification techniques gained a lots of attention within AI world, but never appeared to be used for diagnosis of kids with LDs. Several experimental runs demonstrated that SVN results were consistent independently of the size of the training data set. ANN by itself wasn't giving high accuracy in general. Hybrid techniques yield better results, but…

Max GladeCS228 Written ReportFor my final project I decided to expand my KNN-Learner to be able to recognizemovement and gestures that occur over time. I started off working with the ASLalphabet but came to the conclusion that not many signs are dynamic, so I trained myKNN classifier to recognize RSTC (Recreational Scuba Training Council) hand signalswhich mostly require hand movement. On top of requiring the ability to track movementthe KNN classifier and my code needed to be able to handle…

3. Literature Review: In our paper we used three ways to get the leaf classification, one that was Random Forest, the other being Naïve Bayes and the third being Keras which is also known as Neural Networks. There have been many other cases like ours that have used Random Forest. Nantian Huang, Guobo Lu and Dianguo Xu have been one of the many who have used Random Forest and succeeded. In their paper, “A permutation importance based feature selection method for short term electricity load…

it is officially owned by the person/group that recorded it (registering it at a copyright office isn’t mandatory, but is recommended). This places it under their ownership for the life length of the artist plus another 70 years. Pirating is also another legal issue that is present, more people than ever are using these illegal means to download music which is rightfully owned by Spinnin’ Records, however to combat this the label have implemented new copyright guidelines meaning that anyone…

The Colonial Period consisted of European countries going to countries within the Eastern World and imperializing many countries within Africa and Asia. These European countries imperialized those countries to compete with fellow European countries, gain raw materials from the Eastern countries, and have access to a larger market. The legacies that the imperial world left was destruction of the culture of African and Asian countries, a rapid growth for the countries of the colonizers and…

by the National Aeronautics and Space Administration (NASA) and is tasked with the project of compiling medical health information for astronauts in a research database. Ms. Greene’s background includes a Health Information Technology degree, RHIT and CCS certifications as well as 10 years of experience in the Health Information Management (HIM) field as an outpatient ER coder and an inpatient coder at a large university hospital. Her skill set is very well suited to the project that she is…

Individuals in poor nations have a tendency to have less access to health care services than those in better-off nations, and inside nations, the poor have less access to wellbeing services. Despite the fact that an absence of financial resources or data can make hindrances to getting to services, the causal relationship between access to health services and poverty keeps running in the other direction. At the point when human services are required however is postponed or not obtained,…

Introduction The world has become a better place than it used to be. Individuals are healthier, live longer, and wealthier, yet the escape from poverty by many has left inequality gaps between nations and individuals. In the book The Great Escape, Angus Deaton, who is one of the leading experts on economic poverty and development, narrates an incredible story of how some parts of the world in the past experienced progress while others did not, leading to inequality in today’s world (Deaton).…

bringing more citizens from developed countries into direct contact with individuals from Ebola-infected regions. This creates a system in which high levels of business opportunities draw international persons into Ebola areas in Africa, which increases the number of non-african ebola patients, thus increasing international interest and attention surrounding the virus.The result of which is changing percetions and behaviour towards Ebola. The limited western involvement during 1994 meant that…